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ASU Electronic Theses and Dissertations


This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.

In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.

Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.


Language
  • English
Resource Type
Date Range
2004 2020


Telomerase is a special reverse transcriptase that extends the linear chromosome termini in eukaryotes. Telomerase is also a unique ribonucleoprotein complex which is composed of the protein component called Telomerase Reverse Transcriptase (TERT) and a telomerase RNA component (TR). The enzyme from most vertebrate species is able to utilize a short template sequence within TR to synthesize a long stretch of telomeric DNA, an ability termed "repeat addition processivity". By using human telomerase reconstituted both in vitro (Rabbit Reticulocyte Lysate) and in vivo (293FT cells), I have demonstrated that a conserved motif in the reverse transcriptase domain of the telomerase …

Contributors
Xie, Mingyi, Chen, Julian J.L., Yan, Hao, et al.
Created Date
2010

Contemporary theories of trauma identify the creation of a coherent trauma narrative and therapeutic exposure to trauma memories as potential recovery mechanisms. These factors are often inherent to the disclosure process, resulting in a parallel theoretical framework for experimental research that conceptualizes disclosure as a therapeutic intervention. The present investigation examined the moderational impact of disclosure following trauma on the link between trauma severity and symptoms of Posttraumatic Stress Disorder (PTSD). Disclosure status (discloser or nondiscloser), highest extent of disclosure, and length of delay to first disclosure were tested in a series of moderated regression models among a sample of …

Contributors
Fields, Briana, Barrera, Manuel, Holtfreter, Kristy, et al.
Created Date
2010

"Globesity," as defined by the World Health Organization, describes obesity as a pandemic affecting at least 400 million people worldwide. The prevalence of obesity is higher among women than men; and in non-Hispanic black and Hispanic populations. Obesity has been significantly associated with increased all-cause mortality, and mortality from cardiovascular disease, obesity-related cancers, diabetes and kidney disease. Current strategies to curb obesity rates often use an ecological approach, suggesting three main factors: biological, behavioral, and environmental. This approach was used to develop four studies of obesity. The first study assessed dietary quality, using the Healthy Eating Index (HEI)-2005, among premenopausal …

Contributors
Milliron, Brandy-Joe, Woolf, Kathleen, Vaughan, Linda, et al.
Created Date
2010

In a mere thirty years, hospice has grown from a purely ideological philosophy of care for terminally ill individuals and their families, to a large and well organized healthcare entity. And government statistics project that healthcare will generate more new jobs than any other industry in America until at least 2018. While most of the extant literature that has been published on healthcare workers has focused on negative organizational processes, such as stress and burnout, there has been a recent shift in scholarly ideology in which researchers have been challenged to consider the positive aspects of organizational life as well. …

Contributors
Way, Deborah, Tracy, Sarah J, Carlson, Cheree, et al.
Created Date
2010

To establish reliable wireless communication links it is critical to devise schemes to mitigate the effects of the fading channel. In this regard, this dissertation analyzes two types of systems: point-to-point, and multiuser systems. For point-to-point systems with multiple antennas, switch and stay diversity combining offers a substantial complexity reduction for a modest loss in performance as compared to systems that implement selection diversity. For the first time, the design and performance of space-time coded multiple antenna systems that employ switch and stay combining at the receiver is considered. Novel switching algorithms are proposed and upper bounds on the pairwise …

Contributors
Bangalore Narasimhamurthy, Adarsh, Tepedelenlioglu, Cihan, Duman, Tolga M, et al.
Created Date
2010

The music of Johann Sebastian Bach has long been used for keyboard percussion pedagogy and performance. The cello suites (BWV 1007-1012), in particular, are popular choices for marimbists. As with many transcriptions for marimba, performers are challenged to transfer Bach's musical genius onto an instrument whose timbre, range, mode of execution and acoustic properties are distinctly different from the original. To date, there is no concise and relevant edition of the suites for study and performance at the marimba. The edition contained herein solves most, if not all, of the problems normally confronted by marimbists. In addition to synthesizing the …

Contributors
Sallak, William Leslie, Smith, J. B., Sunkett, Mark, et al.
Created Date
2010

Many methods have been proposed to estimate power system small signal stability, for either analysis or control, through identification of modal frequencies and their damping levels. Generally, estimation methods have been employed to assess small signal stability from collected field measurements. However, the challenge to using these methods in assessing field measurements is their ability to accurately estimate stability in the presence of noise. In this thesis a new method is developed which estimates the modal content of simulated and actual field measurements using orthogonal polynomials and the results are compared to other commonly used estimators. This new method estimates …

Contributors
Kokanos, Barrie Lee, Karady, George G, Heydt, Gerald, et al.
Created Date
2010

The fields of pattern recognition and machine learning are on a fundamental quest to design systems that can learn the way humans do. One important aspect of human intelligence that has so far not been given sufficient attention is the capability of humans to express when they are certain about a decision, or when they are not. Machine learning techniques today are not yet fully equipped to be trusted with this critical task. This work seeks to address this fundamental knowledge gap. Existing approaches that provide a measure of confidence on a prediction such as learning algorithms based on the …

Contributors
Nallure Balasubramanian, Vineeth, Panchanathan, Sethuraman, Ye, Jieping, et al.
Created Date
2010

The global transport and deposition of anthropogenic nitrogen (N) to downwind ecosystems are significant and continue to increase. Indeed, atmospheric deposition can be a significant source of N to many watersheds, including those in remote, unpopulated areas. Bacterial denitrification in lake sediments may ameliorate the effects of N loading by converting nitrate (NO3-) to N2 gas. Denitrification also produces nitrous oxide (N2O), a potent greenhouse gas. The ecological effects of atmospheric N inputs in terrestrial ecosystems and the pelagic zone of lakes have been well documented; however, similar research in lake sediments is lacking. This project investigates the effects N …

Contributors
Mccrackin, Michelle Lynn, Elser, James J, Grimm, Nancy B, et al.
Created Date
2010

Thousands of high-resolution images are generated each day. Segmenting, classifying, and analyzing the contents of these images are the key steps in image understanding. This thesis focuses on image segmentation and classification and its applications in synthetic, texture, natural, biomedical, and industrial images. A robust level-set-based multi-region and texture image segmentation approach is proposed in this thesis to tackle most of the challenges in the existing multi-region segmentation methods, including computational complexity and sensitivity to initialization. Medical image analysis helps in understanding biological processes and disease pathologies. In this thesis, two cell evolution analysis schemes are proposed for cell cluster …

Contributors
Said, Asaad F., Karam, Lina, Chakrabarti, Chaitali, et al.
Created Date
2010